{"id":"W4411618381","doi":"10.51847/wdp4ehc6a9","title":"10.51847/wDp4EHC6a9","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Investment (military); Life insurance; Actuarial science; Business; Insurance premium; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007994042,0.001251379,0.0005947491,0.002944226,0.001326766,0.003390823,0.001002563,0.003241143,0.9555345],"category_scores_gemma":[0.001789634,0.00043796,0.0006157497,0.002986055,0.0008235694,0.002379513,0.002093296,0.001116179,0.9465727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081416,"about_ca_system_score_gemma":0.0008382833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005196896,"about_ca_topic_score_gemma":0.003195935,"domain_scores_codex":[0.9993362,0.00008151925,0.00005864158,0.0001741344,0.0002165671,0.0001329345],"domain_scores_gemma":[0.9985861,0.0003457103,0.00008032347,0.0002088035,0.0005036847,0.000275474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002224032,0.0002563647,0.001810006,0.0003307465,0.00001639598,0.0003184431,0.0001087228,0.0003355592,0.002333318,0.004682969,0.220088,0.769497],"study_design_scores_gemma":[0.00005768953,0.00005805345,0.002372712,0.0002547127,0.00001479354,0.0005019881,0.0001913137,0.0006418049,0.001156734,0.001729415,0.9929972,0.0000236101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002639427,0.0005176627,0.002956727,0.001191755,0.0005806379,0.0002263778,0.001741768,0.001474043,0.9886715],"genre_scores_gemma":[0.007355308,0.0004075638,0.002382526,0.000437147,0.0001094815,0.0001086702,0.001272312,0.0002848604,0.987642],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04446548,"threshold_uncertainty_score":0.06342459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082902187438192,"score_gpt":0.1649342210369086,"score_spread":0.1541051991625266,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}